About Cambly
Change the future of education at Cambly.
English learners can now access seemingly unlimited free content and software for learning vocabulary and grammar. As with any subject, it’s also important to complement that learning with practice to exercise those new skills. For language education, that means having actual conversations with real English speakers.
At Cambly our mission is to provide students with an easy and affordable way to practice and improve their English skills. The Cambly app gives English learners instant 1-on-1 access to friendly native speakers over video chat 24/7. Cambly students speak over 30 languages and live in over 130 countries. English isn’t just a hobby for Cambly students. It’s a critical skill that can change their lives.
We have a small team running a large and rapidly growing business in our SF HQ. We look forward to hearing from you!
About the role
Skills: SQLAbout Cambly: Our mission is to bring high quality English education to every English learner in the world at the touch of a button. Think of us as the Airbnb that matches English students with English tutors and come help us build the world’s largest English learning marketplace and school.
We're looking for a talented analytics thought leader who is passionate about changing the way people learn languages. You will own all the analytics related to the economics of a subscription business including but not limited to building and maintaining key financial metrics, forecasting our subscriber base and their value to the business, and optimizing the prices of our plans**.** You will also be part of a nascent data community where you will help other analytics team members build and drive adoption of analytics processes that ensure data quality and technical rigor.
Come join us in building the best place to learn and teach English!
Job Requirements
- 4+ years in industry experience and a Masters degree (PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
- Experience in using machine learning and forecasting techniques to solve business problems and a deep understanding of ML lifecycle best practices (eg. training/serving, feature engineering, feature/model selection, labeling)
- Experience designing and building metrics, from conception to data pipeline implementation
- Ability to drive data strategies, with a central source of truth to impact business decisions
- Expert in at least one programming language for data analysis (Python or R) and SQL
- Proven ability to succeed in both collaborative and independent work environments
- Proven ability to communicate clearly to audiences of varying technical levels
Preferred
- 8+ years of relevant industry experience
- Experience in building ML applications for Finance
- Experience with setting up experiments and non-experimental causal inference methods like regression analysis and double machine learning.
Life @Cambly includes...
- 60M VC backed and have most of the money in the bank
- Hybrid First Company (M, T, Th)
- Catered Lunches
- 100% of Medical, Dental, and Vision paid along with matching 401k
- Maternity and Paternity Paid Leave
- 20 days of true, unbothered PTO
- End-of-year shutdown
- Family-friendly environment with amazing WLB and Culture
- Helping others around the world unlock economic opportunities by learning English
This role is based in the San Francisco Bay Area, and the expected base salary range for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.
Compensation Package $160,000 - $190,000 USD Base Salary + Pre-IPO Stock Options
Also: We are proud to be a highly inclusive company and an Equal Employment Opportunity employer. We believe in order to thrive, businesses need a diverse team and leadership. We welcome every background, identity, abilities, and mindset to join us on our mission to make high-quality English education for all. Everyone is welcome here. To request reasonable accommodation, contact peopleteam (at)cambly.com.
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Technology
iOS, Android, Python, React JS
